IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v35y2024i8p4310-4338.html
   My bibliography  Save this article

Does intellectual property protection improve energy efficiency? Evidence from the impact of intellectual property income on energy intensity

Author

Listed:
  • Qiang Wang
  • Xiaoli Yang
  • Rongrong Li

Abstract

This work aims to explore the impact of intellectual property income (a guarantee for promoting technological advance) on energy efficiency (indicating the technological advance) considering the mediation role of trade openness. To this end, this article uses the available data of 50 countries from 2000 to 2019 to study the influence of intellectual property income and trade openness. The Fully Modified Ordinary Least Square and Dynamic Ordinary Least Square methods are applied in this article to study the long-term relationship between different variables. The empirical results show that there is a mediation effect between intellectual property income and energy intensity. In other words, intellectual property income can not only directly affect energy intensity, but also indirectly affect energy intensity through trade openness. Fully considering the impact of regional heterogeneity, the countries are divided into high-income (HI) countries and middle-income (MI) countries. The results indicate there are noticeable regional differences in the impact of intellectual property income on energy intensity via the mediation effect of trade openness. The improvement of intellectual property income and trade openness benefits the HI countries most, but not for MI countries. Targeted policy implications are proposed to enable a reduction in energy intensity for countries at different income levels.

Suggested Citation

  • Qiang Wang & Xiaoli Yang & Rongrong Li, 2024. "Does intellectual property protection improve energy efficiency? Evidence from the impact of intellectual property income on energy intensity," Energy & Environment, , vol. 35(8), pages 4310-4338, December.
  • Handle: RePEc:sae:engenv:v:35:y:2024:i:8:p:4310-4338
    DOI: 10.1177/0958305X231180694
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X231180694
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X231180694?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adom, Philip Kofi, 2015. "Determinants of energy intensity in South Africa: Testing for structural effects in parameters," Energy, Elsevier, vol. 89(C), pages 334-346.
    2. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Samargandi, Nahla, 2019. "Energy intensity and its determinants in OPEC countries," Energy, Elsevier, vol. 186(C).
    5. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    6. Wen, Huwei & Li, Nuoyan & Lee, Chien-Chiang, 2021. "Energy intensity of manufacturing enterprises under competitive pressure from the informal sector: Evidence from developing and emerging countries," Energy Economics, Elsevier, vol. 104(C).
    7. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    10. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global trends in the invention and diffusion of climate change mitigation technologies," Nature Energy, Nature, vol. 6(11), pages 1077-1086, November.
    11. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    12. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    13. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    14. repec:icf:icfjae:v:08:y:2008:i:1:p:65-80 is not listed on IDEAS
    15. Kepplinger, D. & Templ, M. & Upadhyaya, S., 2013. "Analysis of energy intensity in manufacturing industry using mixed-effects models," Energy, Elsevier, vol. 59(C), pages 754-763.
    16. Christophe Hurlin & Valérie Mignon, 2007. "Second Generation Panel Unit Root Tests," Working Papers halshs-00159842, HAL.
    17. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    18. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. Naghavi, Alireza & Strozzi, Chiara, 2015. "Intellectual property rights, diasporas, and domestic innovation," Journal of International Economics, Elsevier, vol. 96(1), pages 150-161.
    21. Saeed Moshiri & Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, , vol. 37(4), pages 315-342, October.
    22. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
    23. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    24. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    25. Festus Victor Bekun, 2022. "Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 188-192.
    26. Dervis Kirikkaleli & Tomiwa Sunday Adebayo, 2021. "Do renewable energy consumption and financial development matter for environmental sustainability? New global evidence," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 583-594, July.
    27. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    28. Sahbi Farhani & Jaleleddine Ben Rejeb, 2012. "Energy Consumption, Economic Growth and CO2 Emissions: Evidence from Panel Data for MENA Region," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 71-81.
    29. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    30. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, , vol. 29(3), pages 1-26, July.
    31. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
    32. Heather Berry & Aseem Kaul & Narae Lee, 2021. "Follow the smoke: The pollution haven effect on global sourcing," Strategic Management Journal, Wiley Blackwell, vol. 42(13), pages 2420-2450, December.
    33. Li, Jinkai & Omoju, Oluwasola E. & Zhang, Jin & Ikhide, Emily E. & Lu, Gang & Lawal, Adedoyin I. & Ozue, Vivian A., 2020. "Does Intellectual Property Rights Protection Constitute A Barrier To Renewable Energy? An Econometric Analysis," National Institute Economic Review, National Institute of Economic and Social Research, vol. 251, pages 37-46, February.
    34. Wu-Shun Tee & Lee Chin & Abdul Samad Abdul-Rahim, 2021. "Determinants of Renewable Energy Production: Do Intellectual Property Rights Matter?," Energies, MDPI, vol. 14(18), pages 1-15, September.
    35. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    36. Ibrahim Ngouhouo & Tii Nchofoung & Arsène Aurelien Njamen Kengdo, 2021. "Determinants of Trade Openness in Sub-Saharan Africa: Do Institutions Matter?," International Economic Journal, Taylor & Francis Journals, vol. 35(1), pages 96-119, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yahya Algül & Deniz Erenel, 2024. "The Impact of R&D Expenditures on Regional Energy Intensity in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 546-557, September.
    2. Jin, Taeyoung, 2022. "Impact of heat and electricity consumption on energy intensity: A panel data analysis," Energy, Elsevier, vol. 239(PA).
    3. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
    4. Muhammad Azam & Zia Ur Rehman & Yusnidah Ibrahim, 2022. "Causal nexus in industrialization, urbanization, trade openness, and carbon emissions: empirical evidence from OPEC economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13990-14010, December.
    5. Liu, Fei & Zhang, Xudong & Adebayo, Tomiwa Sunday & Awosusi, Abraham Ayobamiji, 2022. "Asymmetric and moderating role of industrialisation and technological innovation on energy intensity: Evidence from BRICS economies," Renewable Energy, Elsevier, vol. 198(C), pages 1364-1372.
    6. Mirza, Faisal Mehmood & Sinha, Avik & Khan, Javeria Rehman & Kalugina, Olga A. & Zafar, Muhammad Wasif, 2022. "Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries," MPRA Paper 111923, University Library of Munich, Germany, revised 2022.
    7. Shujaat Naeem Azmi & Tasneem Khan & Wajahat Azmi & Naghma Azhar, 2023. "A panel cointegration analysis of linkages between international trade and tourism: case of India and South Asian Association for Regional Cooperation (SAARC) countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5157-5176, December.
    8. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    9. Trabelsi Ramzi & Jouini Wiem, 2019. "Causality Nexus between Economic Growth, Inflation and Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 35-58, March.
    10. Waqar Ameer & Kazi Sohag & Helian Xu & Musaad Mansoor Halwan, 2020. "The Impact of OFDI and Institutional Quality on Domestic Capital Formation at the Disaggregated Level: Evidence for Developed and Emerging Countries," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    11. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    12. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    13. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    14. Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    15. Petrović, Predrag & Lobanov, Mikhail M., 2022. "Energy intensity and foreign direct investment nexus: Advanced panel data analysis," Applied Energy, Elsevier, vol. 311(C).
    16. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    17. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    18. Ramesh Chandra Das & Tonmoy Chatterjee & Enrico Ivaldi, 2022. "Nexus between Housing Price and Magnitude of Pollution: Evidence from the Panel of Some High- and-Low Polluting Cities of the World," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    19. Amuakwa-Mensah, Franklin & Klege, Rebecca A. & Adom, Philip K. & Amoah, Anthony & Hagan, Edmond, 2018. "Unveiling the energy saving role of banking performance in Sub-Sahara Africa," Energy Economics, Elsevier, vol. 74(C), pages 828-842.
    20. Mehmet Balcilar & Ojonugwa Usman & George N. Ike, 2023. "Investing green for sustainable development without ditching economic growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 728-743, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:engenv:v:35:y:2024:i:8:p:4310-4338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.